✦ Luna Orbit — Data & Analytics

Senior Data Engineer - GM Motorsports

at General Motors

📍 2 Locations Hybrid Posted March 25, 2026
Type Not Specified
Experience mid
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

This role involves designing and operating high-performance data pipelines for motorsports telemetry and analytics, leveraging cloud and streaming technologies to support racing programs.

  • Develop data pipelines
  • Optimize streaming architecture
  • Collaborate with engineering teams
  • Manage cloud infrastructure
  • Support high-performance data analytics

Technical environment includes Python, Java, Kafka, Flink, Databricks, and cloud platforms like AWS and Azure, focusing on real-time and batch data processing.

The ideal candidate is a senior data engineer with over 5 years of experience in Python and Java, skilled in building real-time and batch data pipelines using Kafka, Flink, and Databricks, with a strong understanding of cloud infrastructure.

minimum 5 years of software developmentexperience with Python and Javaexperience with KafkaFlinkDatabrickscloud infrastructure experiencebuilding real-time and batch data pipelines
streaming architectureperformance tuninginfrastructure-as-codehigh-performance data systems
PythonJavaKafkaFlinkDatabricksAWSAzureDockerKubernetesPostgreSQLMongoDBRedis
PythonJavaKafkaFlinkDatabrickscloud architecturestreaming systemsperformance analyticsinfrastructure-as-codereal-time data pipelines
PythonJavaSQLKafkaFlinkDatabrickscloud architecturestreaming systemsperformance analyticsinfrastructure-as-code
collaborativeproblem-solvingownershipcommunicationteamwork
Industry Motorsports / Automotive
Job Function Build and operate scalable data pipelines for motorsports analytics
Role Subtype Data Engineer
Tech Domains Python, Java, Kafka, Flink, Databricks, AWS, Azure, Docker, Kubernetes, PostgreSQL
data engineerpythonjavakafkaflinkdatabrickscloud infrastructurestreaming systemsperformance analyticsinfrastructure as codereal-time data pipelinesbatch data pipelineshigh-performance data systemssoftware developmentbig datacloud architecture

Less than 5 years of software development experience, No experience with Kafka, Flink, or Databricks, Lack of cloud infrastructure experience

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